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Single particle cryogenic electron microscopy (cryoEM) has evolved into a widely used method for visualizing biological macromolecules1. Fueled by advances in direct electron detection2,3,4, data acquisition5, and image processing algorithms6,7,8,9,10, cryoEM is now capable of producing near-atomic resolution 3D structures of a fast-growing number of macromolecules11. Moreover, by leveraging the single-molecule nature of the approach, users can determine multiple structures from a single sample12,13,14,15, highlighting the promise of using the data generated to understand heterogeneous structural ensembles16,17. Despite this progress, bottlenecks in cryo-specimen grid preparation persist.
For structural characterization by cryoEM, biological samples should be well-dispersed in aqueous solution and then must be flash-frozen through a process called vitrification18,19. The goal is to capture particles in a uniformly thin layer of vitrified ice suspended across regularly spaced holes that are typically cut into a layer of amorphous carbon. This patterned amorphous carbon foil is supported by a TEM grid bearing a mesh of copper or gold support bars. In standard workflows, grids are rendered hydrophilic using a glow-discharge plasma treatment prior to the application of sample. Excess liquid is blotted with filter paper, allowing the protein solution to form a thin liquid film across the holes that can be readily vitrified during plunge-freezing. Common challenges include particle localization to the air-water interface (AWI) and subsequent denaturation20,21,22 or adoption of preferred orientations23,24,25, particle adherence to the carbon foil rather than migrating into the holes, and clustering and aggregation of the particles within the holes26. Nonuniform ice thickness is another concern; thick ice can result in higher levels of background noise in the micrographs due to increased electron scattering, whereas extremely thin ice can exclude larger particles27.
To address these challenges, a variety of thin support films have been used to coat grid surfaces, allowing particles to rest on these supports and, ideally, avoid interactions with the air-water interface. Graphene supports have shown great promise, in part due to their high mechanical strength coupled with their minimal scattering cross-section, which reduces the background signal added by the support layer28. In addition to its minimal contribution to background noise, graphene also exhibits remarkable electrical and thermal conductivity29. Graphene and graphene oxide coated grids have been shown to yield higher particle density, more uniform particle distribution30, and reduced localization to the AWI22. In addition, graphene provides a support surface that can be further modified to: 1) tune the physiochemical properties of the grid surface through functionalization31,32,33; or 2) couple linking agents that facilitate affinity purification of proteins of interest34,35,36.
In this article, we have modified an existing procedure for coating cryoEM grids with a single uniform layer of graphene30. The modifications aim to minimize grid handling throughout the protocol, with the goal of increasing yield and reproducibility. Additionally, we discuss our approach to evaluate the efficacy of various UV/ozone treatments in rendering grids hydrophilic prior to plunging. This step in cryoEM sample preparation using graphene-coated grids is critical, and we have found our straightforward method to quantify the relative hydrophilicity of the resulting grids to be useful. Using this protocol, we demonstrate the utility of employing graphene-coated grids for structure determination by generating a high-resolution 3D reconstruction of catalytically inactive S. pyogenes Cas9 in complex with guide RNA and target DNA.